{"title":"A microwave imaging method based on transformation electromagnetics","authors":"M. Kuzuoglu, O. Ozgun","doi":"10.1109/METAMATERIALS.2016.7746509","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to combine the transformation electromagnetics approach and the inverse algorithms for solving microwave imaging problems, especially in the context of imaging the shapes of complex objects. A suitable transformation medium is placed into the domain of interest by using the concepts of the transformation electromagnetics, and hence, expensive cost function evaluations can be performed by the finite element method with reduced computational load. Numerical examples are demonstrated to measure the performance of the proposed approach.","PeriodicalId":6587,"journal":{"name":"2016 10th International Congress on Advanced Electromagnetic Materials in Microwaves and Optics (METAMATERIALS)","volume":"33 1","pages":"262-264"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Congress on Advanced Electromagnetic Materials in Microwaves and Optics (METAMATERIALS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METAMATERIALS.2016.7746509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The purpose of this study is to combine the transformation electromagnetics approach and the inverse algorithms for solving microwave imaging problems, especially in the context of imaging the shapes of complex objects. A suitable transformation medium is placed into the domain of interest by using the concepts of the transformation electromagnetics, and hence, expensive cost function evaluations can be performed by the finite element method with reduced computational load. Numerical examples are demonstrated to measure the performance of the proposed approach.